Rsampling-shiny

Rsampling is a free and open source package intended for teaching and learning about statistics using randomization routines. Rsampling-shiny is a web-based graphical user interface written in shiny.

To run, you need to install R and the Rsampling, shiny and PerformanceAnalytics libraries. In Windows, note that you need at least R version 3.2, so please upgrade if you are running an older version.

To install these dependencies, open R and run:

install.packages(c("Rsampling", "shiny", "PerformanceAnalytics"))

Running offline

If you need to be able to use Rsampling-shiny without Internet access, download the latest stable version, and extract it to a folder. Then, open R (with the required packages installed, see above) and run

library(shiny)
runApp("<path to Rsampling-shiny>")

Remember that you need to install the packages listed above while you have internet access!

Web version

You can run Rsampling shiny from github! Just open R and run:

library(shiny)
runGitHub(repo="lageIBUSP/Rsampling-shiny")

and wait for the browser window to open!

Languages

The app is currently available in English (default) and Portuguese (experimental). To use the version in Portuguese, run the following command before running the app (runGitHub(...) or runApp(...))

language <- "pt"

Current features

• Access the Rsampling sample datafiles, or upload your own data in csv format
• Choose between a range of statistics, or write your own R function
• Select your randomization scheme, with or without replacement
• Optional stratified randomization
• Reactive graph showing the distribuion of the statistic of interest and estimated p-value

Bugs and issues

Please report any issue or suggestion at https://github.com/lageIBUSP/Rsampling-shiny/issues.